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A meta-analysis of Symptom Checklist-90 assessment results in Chinese nurses / 中华劳动卫生职业病杂志
Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 129-133, 2018.
Artigo em Chinês | WPRIM | ID: wpr-806007
ABSTRACT
Objective@#To investigate the application of Symptom Checklist-90 (SCL-90) in Chinese nurses.@*Methods@#We performed a literature search for articles in Chinese on the mental health of nurses investigated using the SCL-90 that were published from January 2007 to December 2016. A total of 129 articles were included, involving 178 groups of valid samples as well as 36316 subjects in 27 provinces or cities in China. The metafor package of R 3.2.1 software and Excel were used for meta-analysis and data statistics.@*Results@#Heterogeneity was identified for the nine factors included in the literature data (Q test P<0.05; I2 test >40%) , so a random effects model was used. For all factors except interpersonal relationship factor, the 95% confidence intervals of the pooled effect sizes did not include 0. For all factors except interpersonal relationship factor (Egger test P<0.05) , no significant asymmetry or incompleteness appeared in the funnel plots. The fail-safe number of each factor was much larger than 5k+10. The merger scores and mean values of nine factors were higher than the national norm.@*Conclusion@#The SCL-90 is widely used in the study of mental status of Chinese nurses, but the SCL-90 norm for nurses is lacking.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico / Estudo prognóstico / Revisões Sistemáticas Avaliadas Idioma: Chinês Revista: Chinese Journal of Industrial Hygiene and Occupational Diseases Ano de publicação: 2018 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico / Estudo prognóstico / Revisões Sistemáticas Avaliadas Idioma: Chinês Revista: Chinese Journal of Industrial Hygiene and Occupational Diseases Ano de publicação: 2018 Tipo de documento: Artigo